Title :
The accuracy of the HRBF networks
Author :
Ferrari, S. ; Frosio, I. ; Piuri, V. ; Borghese, N.A.
Author_Institution :
Dept. of Inf. Technol., Milano Univ., Crema, Italy
Abstract :
A procedure for the construction of 3D surfaces from range data in real-time is here described and discussed. The main goal is to observe the accuracy of the reconstruction through the phases of the 3D model reconstruction. The process is based on the connectionist model, named hierarchical radial basis functions networks (HRBF), which has been proved effective in the reconstruction of smooth surfaces from sparse noisy points. The network goal is to achieve a uniform reconstruction error, equal to measurement error, by stacking non-complete grids of Gaussians at decreasing scales. The HRBF properties allow reconstructing meshes from range data in real-time.
Keywords :
Gaussian processes; image reconstruction; measurement errors; mesh generation; radial basis function networks; real-time systems; 3D model reconstruction; 3D scanner; 3D surface construction; connectionist model; hierarchical radial basis functions networks; measurement error; meshes reconstruction; multiscale surface; noise filtering; non-complete grids stacking; real-time meshing; smooth surfaces; sparse noisy points; uniform reconstruction error; Computer science; Feedback; Gaussian processes; Humans; Information technology; Merging; Mesh generation; Sampling methods; Stacking; Surface reconstruction;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351093
